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Ternary DNA computing using 3 × 3 multiplication matrices

Non-Boolean computations implementing operations on multi-valued variables beyond base 2 allow enhanced computational complexity. We introduce DNA as a functional material for ternary computing, and in particular demonstrate the use of three-valued oligonucleotide inputs to construct a 3 × 3 multipl...

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Detalles Bibliográficos
Autores principales: Orbach, Ron, Lilienthal, Sivan, Klein, Michael, Levine, R. D., Remacle, Francoise, Willner, Itamar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Royal Society of Chemistry 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811156/
https://www.ncbi.nlm.nih.gov/pubmed/29560214
http://dx.doi.org/10.1039/c4sc02930e
Descripción
Sumario:Non-Boolean computations implementing operations on multi-valued variables beyond base 2 allow enhanced computational complexity. We introduce DNA as a functional material for ternary computing, and in particular demonstrate the use of three-valued oligonucleotide inputs to construct a 3 × 3 multiplication table. The system consists of two three-valued inputs of –1; 0; +1 and a fluorophore/quencher functional hairpin acting as computational and reporter module. The interaction of the computational hairpin module with the different values of the inputs yields a 3 × 3 multiplication matrix consisting of nine nanostructures that are read out by three distinct fluorescence intensities. By combining three different hairpin computational modules, each modified with a different fluorophore/quencher pair, and using different sets of inputs, the parallel operation of three multiplication tables is demonstrated.